Software Engineering Senior Analyst (AI Prompt Engineer)
Prompt Engineering: Create and optimize prompts to drive accurate and relevant LLM outputs tailored to specific business needs.
#Happy to talk flexible working arrangement- Business Domain Acumen: Collaborate with stakeholders to understand industry-specific terminology, processes, and challenges, enabling more effective AI solutions.
- MLOps Integration: Build, deploy, and manage GenAI pipelines using platforms such as MLflow or Azure ML, ensuring reliability, scalability, and maintainability.
- Responsible AI: Apply principles of fairness, transparency, and security, including bias mitigation and model explainability.
Responsibilities:
Ensure consulting services and project focus align with IT strategic objectives.
Manage continuous improvement of development processes and methodologies.
Handle complex issues and risks, escalating when necessary.
Document and demonstrate solutions clearly through various means.
Deliver solutions that meet customers' needs effectively.
Build and maintain strong relationships with key stakeholders.
Analyse business requirements and implement solutions accordingly.
Ensure accuracy and timeliness of output and reporting.
Mitigate risks and issues promptly.
Mentor and develop staff to maintain desired technical abilities within the team.
Skills:
Analytical Thinking, Adaptability, Agile Application Development, Communication, Critical Thinking, Customer Service, GitLab CI/CD, Intentional collaboration, Managing performance, Process Improvements, Risk Management, Scalability Testing, Software Development, Software Development Life Cycle (SDLC) Methodologies, Stakeholder Management, Team Management.